期刊论文

Zhang, JM

英文

Automation in Construction

0926-5805

2024

158

105217

10.1016/j.autcon.2023.105217

Open Fund of Key Laboratory of Safety Control of Bridge Engineering, Ministry of Education (Changsha University of Science and Technology), China [21KB06]; Hunan Provincial Key Research and Development Program, China [2022GK2019]; National Key Research and Development Program of China [2021YFB2600900]; King Saud University, Riyadh, Saudi Arabia; Practical Innovation and Entrepreneurship Ability Improvement Plan for Professional Degree Postgraduate of Changsha University of Science and Technology, China [RSP2023R102]; [CLSJCX23104]

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Cracks are one of the most common pavement surface diseases. Timely repair of these cracks is imperative to prevent a substantial reduction in the pavement's service life. However, the persistent challenges in crack segmentation arise from factors such as thin and shallow crack characteristics, a cluttered background, and foreground distractors. In response to these challenges, a dual-path network for pavement crack segmentation is introduced, leveraging a synergistic combination of Convolutional Neural Network (CNN) and transformer. First, the proposed approach involves a lightweight CNN enco...